If the correlation between two variables is 0.50, then how much variance does X account for Y? It seems very simple, but I can't actually get the point of the question, does it require us to calculate $\frac{\sigma_x^2}{\sigma_y^2}$?
2026-04-01 01:39:17.1775007557
Correlation and variance.
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$$ \\ \sigma^2_{Y} = \beta^2 \sigma^2_{X} + \sigma^2_{\epsilon} \\ $$
$$\beta = \frac{\sigma_{X,Y}}{\sigma^2_{X}} = \rho_{X,Y}\frac{\sigma_{Y}}{\sigma_{X}}$$
$$\beta^2 =.5^2\frac{(\sigma_{Y})^2}{(\sigma_{X})^2}$$
$$ \sigma^2_{Y} = .25 \times \sigma^2_{Y} + \sigma^2_{\epsilon} $$
Thus a correlation of $0.5$ means X accounts for $25$% of the variance of Y